rust-dd/iTransformer
An iTransformer implementation in Rust
This helps data scientists, quantitative analysts, or operations engineers predict future trends from complex multivariate time series data. You input historical measurements from many related variables (like electricity consumption across different sectors or traffic flow at various intersections), and it outputs highly accurate forecasts for those variables at multiple future points in time. It's designed for someone who needs to make informed decisions based on patterns in interconnected time-varying data.
Use this if you need state-of-the-art accuracy in forecasting multiple related time series, even when dealing with long historical data or generalizing to unseen variables.
Not ideal if your forecasting needs are simple, involve only a single time series, or you require a highly interpretable model where the internal workings are transparent without deep dive.
Stars
19
Forks
2
Language
Rust
License
MIT
Category
Last pushed
Jan 10, 2026
Monthly downloads
6
Commits (30d)
0
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